Automatic Detection of Different Harvesting Stages in Lettuce Plants by Using Chlorophyll Fluorescence Kinetics and Supervised Self Organizing Maps (SOMs).
Xanthoula Eirini PantaziDimitrios MoshouDimitrios KasampalisPavlos TsouvaltzisDimitrios KaterisPublished in: EANN (1) (2013)
Keyphrases
- automatic detection
- self organizing maps
- unsupervised learning
- supervised learning
- neural network
- competitive learning
- fuzzy classification
- topology preserving
- feature selection
- automatically detecting
- image analysis
- input data
- semi supervised
- neural gas
- som neural network
- k means
- visualization methods
- water quality
- chest ct
- data sets
- probabilistic model
- machine learning
- model selection
- reinforcement learning
- decision trees
- growing neural gas
- learning algorithm